# Copyright (c) 2024, Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
# All Rights Reserved.
#
#    Licensed under the Apache License, Version 2.0 (the "License"); you may
#    not use this file except in compliance with the License. You may obtain
#    a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
#    License for the specific language governing permissions and limitations
#    under the License.
#

from typing import Dict

import torch
from ixrt.deploy.ir import DataType, VariableType
from torch.fx.graph import Node as FxNode


def get_var_type(node: FxNode):
    if node.type == torch.Tensor:
        return VariableType.TENSOR

    return VariableType.TENSOR


def collect_model_params(graph) -> Dict[str, torch.Tensor]:
    params = dict()
    for name, var in graph.variables.items():
        if isinstance(var.value, torch.nn.Parameter):
            params[name] = var.value

    return params
